Data Scientist

Job Title: Data Scientist

Location: Hyderabad (5 Days)

Shift timing: 1 PM to 10 PM

Experience: 7 years

Mandatory Skills: Data Scientist, Python, Pytorch, AWS, SQL, Gen Ai

Position Description:

We're looking for a Senior Data Scientist with strong analytical thinking, deep technical

The candidate should have 4+ years of high-quality proven experience in AI/ML working. The

You'll work with cross-functional teams to design, develop, and deploy scalable AI/ML solutions, including Generative AI, predictive modeling, and recommendation systems. You'll

work with cross-functional teams to design, develop, and deploy scalable AI/ML solutions,

Education Qualification:

Education Qualification:

Roles and Responsibilities:

Design, build, and validate machine learning and deep learning models, ensuring

Apply strong statistical foundations to analyze large datasets and derive actionable insights.

Apply strong statistical foundations to analyze large datasets and derive actionable

Lead the development and evaluation of models using modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).

Lead the development and evaluation of models using modern ML frameworks (e.g.,

Drive the adoption of Generative AI and LLM-based solutions, ensuring model alignment, prompt engineering, and ethical AI practices.

Drive the adoption of Generative AI and LLM-based solutions, ensuring model

Collaborate with data engineers, product teams, and business stakeholders to transform business problems into technical solutions.

Collaborate with data engineers, product teams, and business stakeholders to

transform

Contribute to code reviews, model documentation, and mentorship of junior data scientists.

Contribute to code reviews, model documentation, and mentorship of junior data

Stay abreast of the latest research and translate cutting-edge methods into production.

Stay abreast of the latest research and translate cutting-edge methods into

production.

Required Qualifications

Bachelor's or master's degree in computer science, Statistics, Applied Mathematics,

or a related field.

Statistical and Mathematical Rigor: Strong grasp of descriptive and inferential

statistics (hypothesis testing, A/B testing, regression, probability theory).

Understanding of bias-variance trade-off, regularization, overfitting, and model

validation techniques.

Machine Learning & Deep Learning: Hands-on experience with a range of algorithms:

decision trees, ensemble models, SVMs, neural networks, clustering, and NLP

Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.

Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and

Generative AI & LLMs: Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.

Generative AI & LLMs: Conceptual and practical knowledge of Large Language

Tooling & Deployment: Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).

Tooling & Deployment: Experience with cloud platforms (AWS, GCP, Azure), ML

Version control (Git) and collaborative development practices.

Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.

Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models)

Programming & Problem Solving: Advanced proficiency in Python with the ability to write clean, modular, and testable code.

Programming & Problem Solving: Advanced proficiency in Python with the ability to

Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.

Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch,

Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.

Strong problem-solving skills with the ability to tackle coding challenges

independently and efficiently